Agentic Chunking: Enhancing RAG Answers for Completeness and Accuracy

Agentic Chunking improves context preservation in Retrieval Augmented Generation. Introduction Generating accurate and complete answers using Large Language Models (LLMs) depends on two main factors: 1. The quality of the LLM. 2. The quality of the context provided to the LLM. In this post, we’ll focus on the second